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Hello,Our team is working on a project about the genome Blacklist of different species, which uses umap software to generate a mappability containing umap mappability files. I have encountered these two problems in using umap.
Your latest version is 1.2.0, but I can only download version 1.1.1 in conda or github, how can I download the latest version?
We noticed that after running 'unify_bowtie', the kmers result of the first chromosome is always lost, for example, the bowtie file will be from chr2 to chrY, and all chr1 result will be lost.
My current solution is to add chrMT as chr0 (before chr1), so that chr0 will be lost. And we could get the result from chr1 to chrY. We are not sure if this soultion is appropriate or not? And could you provide guidance on this issue?
for i in 50
do
for j in seq 0 2442
do python ${umap_path}/run_bowtie.py -var_id SGE_TASK_ID -job_id ${j} ${working_dir}/kmers/k${i} ${bowtie_bin} ${bowtie_index_dir} genome.fa
done
done
for i in 50
do
for j in seq 0 20
do python ${umap_path}/unify_bowtie.py ${working_dir}/kmers/k${i} ${working_dir}/chrsize.tsv -var_id SGE_TASK_ID -job_id ${j}
done
done
##############################################################################################################################################################################################################
The text was updated successfully, but these errors were encountered:
This is the latest version and you will be using the correct scripts.
About the error you are describing:
This seems to me like an off-by-one error caused by some task managers using 1-base and some using 0-based indexing. The example script I have provided doesn't have that issue.
You can investigate the contents of the chrsize_index.tsv file to see why this is happening.
Adjusting that file might be easier than adding a fake chromosome.
Hello,Our team is working on a project about the genome Blacklist of different species, which uses umap software to generate a mappability containing umap mappability files. I have encountered these two problems in using umap.
My current solution is to add chrMT as chr0 (before chr1), so that chr0 will be lost. And we could get the result from chr1 to chrY. We are not sure if this soultion is appropriate or not? And could you provide guidance on this issue?
Below is the corresponding command:
##############################################################################################################################################################################################################
working_dir=/public/home/mkong/Blacklist/03.work/02.mappability
bowtie_bin=/public/home/mkong/anaconda3/envs/Blacklist/bin
bowtie_index_dir=/public/home/mkong/Blacklist/03.work/02.mappability/genome
umap_path=/public/home/mkong/Blacklist/00.soft/umap/umap
we only consider kmer=50
for i in 50
do
for j in
seq 0 2442
do python ${umap_path}/run_bowtie.py -var_id SGE_TASK_ID -job_id ${j} ${working_dir}/kmers/k${i} ${bowtie_bin} ${bowtie_index_dir} genome.fa
done
done
for i in 50
do
for j in
seq 0 20
do python ${umap_path}/unify_bowtie.py ${working_dir}/kmers/k${i} ${working_dir}/chrsize.tsv -var_id SGE_TASK_ID -job_id ${j}
done
done
##############################################################################################################################################################################################################
The text was updated successfully, but these errors were encountered: